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About GRIF

GRIF (GRaphical Interface for reliability Forecasting) is a software suite of excellence that determines the fundamental indicators of reliability and dependability (Reliability - Availability - Performance - Safety).

GRIF comprises 3 packages and 12 modules allowing the user to choose the most appropriate modelling technique for the resolution of the studied system (block diagrams, fault trees, Markov graphs, Petri nets...).

The software integrates mature and powerful calculation engines (ALBIZIA and MOCA-RP), as well as pre-integrated architectures that facilitate the modeling of any reliability study.

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Over 40 years of expertise in modelling reliability studies

The result of more than 40 years of Research and Development within TotalEnergies, GRIF has mature, high-performance calculation engines with modeling capabilities that meet the requirements of all your reliability studies, whatever your field of activity. 

Discover the GRIF software suite with the short YouTube video.

To learn even more about the origins of GRIF, read the article "Jean-Pierre Signoret tells the genesis of GRIF".

Approved by industry professionals

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Technical quality
of the calculation engines*

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Support
and maintenance*

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Available in
English and French*

* Based on the results of a 2021 user survey

Our products

An IT solution suited to all industrial sectors

Sectors of activity: aeronautics, aerospace, energies, defense, telecoms, transportation, health, universities and research

GRIF is designed for any field of activity

Whether for an oil platform, aircraft, train or water supply system, GRIF evaluates the reliability and availability of any system using a range of computational techniques. The GRIF software suite offers a wide variety of calculation methods so that users can select the most appropriate (analytical, simulation, etc.), according to the system being modeled.

Book a free demonstration with an expert

Try the GRIF software suite free trial version

Need more information?

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Latest News

GRIF, Software for RAMS studies | TotalEnergies

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